Abstract
This chapter discusses a method for applying a linear regression analysis to software reliability data. By expanding five traditional growth curve models, we propose a linearized growth curve model. The unknown parameters included in the model can be estimated by log-linear regression with the method of two-parameter numerical differentiation which is introduced in this study. This model and its estimation results can provide a control chart representing the degree of software reliability growth and testing progress in a software testing phase. Also the estimated growth curve can be used as a generalized growth curve model, which describes the future behavior of the cumulative number of detected software faults.
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Kimura, M. (2008). A Linearized Growth Curve Model for Software Reliability Data Analysis. In: Pham, H. (eds) Recent Advances in Reliability and Quality in Design. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-113-8_13
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DOI: https://doi.org/10.1007/978-1-84800-113-8_13
Publisher Name: Springer, London
Print ISBN: 978-1-84800-112-1
Online ISBN: 978-1-84800-113-8
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